EvidenceHunt

The Problem

Medical researchers and clinicians spend enormous amounts of time manually searching, reading, and synthesizing evidence from scientific literature. Existing tools lacked the AI sophistication to truly understand medical queries and return contextually relevant, trustworthy results.

The Approach

Joined as Interim CTO to lead hands-on development of the platform. Architected and built a custom RAG pipeline integrated with a vector database, enabling semantic search across medical literature. Served as technical counterpart to founders and investors during fundraising, translating the technical vision into investor-ready narratives.

Tech Stack

Results

• Secured >$1M in funding with technical leadership during fundraising
• Built production RAG pipeline for medical evidence retrieval
• Established scalable architecture for semantic search at scale
• Acted as technical counterpart to founders and investors